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Quote:AMD explains how to run OpenClaw on their hardware
![[Image: AMD-RYZEN-CLAW-RADEON-CLAW-HERO-1200x624.jpg]](https://cdn.videocardz.com/1/2026/03/AMD-RYZEN-CLAW-RADEON-CLAW-HERO-1200x624.jpg)
AMD has published a new OpenClaw guide built around what it calls “RyzenClaw” and “RadeonClaw,” two AMD hardware paths for running local AI agents on Windows. The first is a Ryzen AI Max+ system with 128GB of unified memory, while the second uses a Radeon AI PRO R9700 graphics card. AMD is pitching both as ways to run OpenClaw locally through WSL2, LM Studio, and a local model setup rather than relying on the cloud.
![[Image: AMD-RYZENCLAW-RADEON-CLAW-3-768x432.jpg]](https://cdn.videocardz.com/1/2026/03/AMD-RYZENCLAW-RADEON-CLAW-3-768x432.jpg)
Source: AMD
RyzenClaw & RadeonClawAMD’s “RyzenClaw” setup is not just any Ryzen AI Max+ laptop or mini PC, it specifically calls for a 128GB configuration, and AMD’s own instructions say users should reserve 96GB of variable graphics memory for that platform. That setup runs the Qwen 3.5 35B A3B model at about 45 tokens per second, supports a 260K token context window, and can handle up to six concurrent agents.
![[Image: AMD-RYZENCLAW-RADEON-CLAW-4-768x429.jpg]](https://cdn.videocardz.com/1/2026/03/AMD-RYZENCLAW-RADEON-CLAW-4-768x429.jpg)
Source: AMD
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